Error code:   ConfigNamesError
Exception:    AttributeError
Message:      'str' object has no attribute 'items'
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
                  config_names = get_dataset_config_names(
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1207, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1182, in dataset_module_factory
                  ).get_module()
                    ^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 690, in get_module
                  config_name: DatasetInfo.from_dict(dataset_info_dict)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/info.py", line 284, in from_dict
                  return cls(**{k: v for k, v in dataset_info_dict.items() if k in field_names})
                                                 ^^^^^^^^^^^^^^^^^^^^^^^
              AttributeError: 'str' object has no attribute 'items'

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Chile Consumer Mailing List — Market Intelligence Dataset

2,000,000 verified Chile contacts are available from LeadsBlue →. This open dataset provides the aggregate market intelligence behind that database — contact volume, benchmark open/reply rates, send timing, and compliance for the Chile segment.

At a glance: This dataset provides aggregated market-intelligence on the Chile Consumer Mailing List segment — real business-population statistics, cold-email performance benchmarks, and compliance context compiled by LeadsBlue Research.

Key figures

Metric	Value
Verified contacts in segment	2,000,000
Typical email open rate	17-25%
Typical email reply rate	3-6%
Best send days	Tuesday, Wednesday, Thursday
Best send time (local)	09:00-11:00 CLT
Geography	Chile
Industry verticals benchmarked	14
License	CC BY 4.0

📥 Get the full Chile Consumer Mailing List — individual verified business records, ready to use: Download from LeadsBlue →

Market overview

Consumer (B2C) segment. Chile is Latin America's most stable and prosperous economy per capita — a high-income country by regional standards with strong institutions and globally integrated trade relationships. Santiago is the commercial capital, home to the Santiago Stock Exchange, major mining company headquarters (Codelco, BHP Billiton Chile, Anglo American Chile), and a growing technology sector. Chile is the world's largest copper producer (copper accounts for over 50% of exports), giving its economy unusual exposure to global commodity cycles but also unique depth in mining technology and services. A new fintech law and startup-supportive regulatory environment have made Chile an increasingly attractive Latin American tech hub.

Primary business hubs: Santiago (Las Condes, Providencia, El Golf), Valparaíso/Viña del Mar, Antofagasta (mining), Concepción.

Outreach benchmarks & strategy

Chilean B2B cold email in Spanish is standard for domestic companies; English is appropriate for the mining multinational community and international business organisations. Chilean business culture is more formal than some LATAM neighbours — professional titles and proper salutations matter in initial contact. The 'Chilecon Valley' startup ecosystem in Santiago's Providencia and Las Condes neighbourhoods is internationally connected and responds well to direct professional outreach.

Files in this dataset

File	Contents
`data/market_overview.csv`	Segment-level metrics: contact volume, benchmark rates, send timing
`data/industry_benchmarks.csv`	Open/reply benchmarks across 14 industry verticals
`data/compliance.csv`	Regulatory framework, business culture, decision-maker profile, hubs

Methodology

All numbers are segment-level aggregates from LeadsBlue's data operations and public baselines. The dataset is intentionally aggregate-only and contains no personally identifiable information.

How to cite

LeadsBlue Research. (2026). Chile Consumer Mailing List — Market Intelligence Dataset. Derived from the B2B Cold Email Benchmark Report 2026 (https://doi.org/10.5281/zenodo.20136256). CC BY 4.0. Source: https://leadsblue.com

@dataset{leadsblue_chile_consumer_mailing_list_2026,
  author    = {Johnson, Luther},
  title     = {Chile Consumer Mailing List -- Market Intelligence Dataset},
  year      = {2026},
  publisher = {LeadsBlue Research},
  doi       = {10.5281/zenodo.20136256},
  url       = {https://leadsblue.com/leads/chile-consumer-email-list-sales-leads-database/}
}

Source & full dataset

This aggregate dataset is published by LeadsBlue Research. The full verified consumer email list — with individual business contact records — is available at Chile Consumer Mailing List.

Related resources: Benchmark report (Zenodo) · Research hub · Interactive tools

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